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a highly multi-disciplinary research team that includes scientists with expertise in biochemistry, bioinformatics, single cell genomics, epigenetics, pharmacology and pathology. The laboratory website
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Multidisciplinary Centre for Neuromorphic Computing. The revolutionary project will see scientists use human brain stem cell clusters (organoids) on microchip arrays to push the boundaries of neuromorphic
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
applications for a Clinical Research Post-Doctoral Fellowship. This is a high impact postdoctoral position for aspiring clinician-scientists. It is a full-time, two-year position with a start date of July 1
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scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy
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at the University of Minnesota seek a motivated scientist with applied field research experience to evaluate existing data from research trials conducted in Minnesota and establish and coordinate nitrogen fertilizer
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, multidisciplinary collaboration, bringing together a community of scientists across diverse disciplines. We develop capacity in clinical research, health services research and biomedical sciences to improve health
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/ Location University of Arizona Health Sciences Address Tucson, AZ USA Position Highlights The Center for Innovation in Brain Science (CIBS) is seeking a research scientist to lead and implement data-driven
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, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine
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Job Description Join the Multi-omics Network Analytics Research Team as a Postdoc in Computational Biology at the Danish Technical University (DTU) Are you an experienced scientist with a passion
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scientists, and researchers working on medical image analysis, machine learning, and audiology. Our recent work has focused on using deep learning to analyse temporal bone CT scans and brain MRI data in